Watch Machine Learning for Human Creative Practice by Dr. Rebecca Fiebrink at Eyeo 2018.

Machine learning helps expand creative practices by allowing people to work with data in ways traditional programming can't. It can handle large amounts of information, like tracking body movements, to control visuals or sound in real-time, opening up new possibilities for creativity.

Dr. Rebecca Fiebrink points out that ML isn’t just about making things efficient—it's also about experimenting and playing. Artists can use ML to explore new ideas and stumble upon unexpected, creative results that wouldn’t happen with regular programming. These "happy accidents" let them push their work in unique directions.

ML makes complex tasks easier for non-experts, letting people focus on creativity while the tech handles the hard stuff. It allows more people to use tools like HandPose and BodyPose, which turn gestures into creative controls, making creative tech more accessible to everyone.

Project Idea

I'm interested in continuing the sign language project I worked on last time, but I still need to figure out the exact direction to take. The Olympic font we saw in class gave me some inspiration. I’m thinking about shifting the focus from hand movements to full-body movements. I’m also considering incorporating Chinese gestures, which I think would be exciting.

https://www.youtube.com/watch?v=sb3HkQEahOo